A perspective on brain-age estimation and its clinical promise

C Gaser, P Kalc, JH Cole - Nature computational science, 2024 - nature.com
Brain-age estimation has gained increased attention in the neuroscientific community owing
to its potential use as a biomarker of brain health. The difference between estimated and …

A systematic review of multimodal brain age studies: Uncovering a divergence between model accuracy and utility

RJ Jirsaraie, AJ Gorelik, MM Gatavins, DA Engemann… - Patterns, 2023 - cell.com
Brain aging is a complex, multifaceted process that can be challenging to model in ways that
are accurate and clinically useful. One of the most common approaches has been to apply …

Emerging pathways to sustainable economic development: An interdisciplinary exploration of resource efficiency, technological innovation, and ecosystem resilience …

F Wang, WK Wong, Z Wang, G Albasher, N Alsultan… - Resources Policy, 2023 - Elsevier
Innovation has always been a key factor in economic growth. But with the increasing
pressure on natural resources, it has become even more crucial to understand the …

Brain-age prediction: A systematic comparison of machine learning workflows

S More, G Antonopoulos, F Hoffstaedter, J Caspers… - NeuroImage, 2023 - Elsevier
The difference between age predicted using anatomical brain scans and chronological age,
ie, the brain-age delta, provides a proxy for atypical aging. Various data representations and …

Brain ageing in schizophrenia: evidence from 26 international cohorts via the ENIGMA Schizophrenia consortium

C Constantinides, LKM Han, C Alloza… - Molecular …, 2023 - nature.com
Schizophrenia (SZ) is associated with an increased risk of life-long cognitive impairments,
age-related chronic disease, and premature mortality. We investigated evidence for …

A review on brain age prediction models

LKS Kumari, R Sundarrajan - Brain Research, 2024 - Elsevier
Brain age in neuroimaging has emerged over the last decade and reflects the estimated age
based on the brain MRI scan from a person. As a person ages, their brain structure will …

Cardiometabolic risk factors associated with brain age and accelerated brain ageing

D Beck, AMG de Lange, ML Pedersen… - Human brain …, 2022 - Wiley Online Library
The structure and integrity of the ageing brain is interchangeably linked to physical health,
and cardiometabolic risk factors (CMRs) are associated with dementia and other brain …

Brain asymmetries from mid-to late life and hemispheric brain age

M Korbmacher, D van der Meer, D Beck… - Nature …, 2024 - nature.com
The human brain demonstrates structural and functional asymmetries which have
implications for ageing and mental and neurological disease development. We used a set of …

[HTML][HTML] Brain age prediction: A comparison between machine learning models using brain morphometric data

J Han, SY Kim, J Lee, WH Lee - Sensors, 2022 - mdpi.com
Brain structural morphology varies over the aging trajectory, and the prediction of a person's
age using brain morphological features can help the detection of an abnormal aging …

Brain age prediction using combined deep convolutional neural network and multi-layer perceptron algorithms

Y Joo, E Namgung, H Jeong, I Kang, J Kim, S Oh… - Scientific Reports, 2023 - nature.com
The clinical applications of brain age prediction have expanded, particularly in anticipating
the onset and prognosis of various neurodegenerative diseases. In the current study, we …